Daniel Coca

2.0k citations
108 papers · 1.4k · h-index 21

Impact in

Papers in

Daniel Coca

101 papers receiving 1.4k citations

Peers

Daniel Coca
Comparison fields: 5 of 152
  • Environmental Engineering 190
  • Control and Systems Engineering 277
  • Statistical and Nonlinear Physics 139
  • Health, Toxicology and Mutagenesis 130
  • Cellular and Molecular Neuroscience 108
Replace John I. Goutsias with:
John I. Goutsias United States
Xiaorong Pu China
Bradley M. Bell United States
John W. Roberts United States
Le Yang China
Michael S. Brown United States
Martin Vejmelka Czechia
Camille Couprie France
Yaoyu Zhang China
Mohammad Javad Yazdanpanah Iran
Daniel Coca relative to John I. Goutsias United States John I. Goutsias's profile →
Citations per field
00.5×2×4×6.3×
John I. Goutsias · 1×
Citations per year

Countries citing papers authored by Daniel Coca

Since Specialization
Citations

This map shows the geographic impact of Daniel Coca's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Coca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Coca more than expected).

Fields of papers citing papers by Daniel Coca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Coca. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Coca. The network helps show where Daniel Coca may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel Coca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Coca Line = papers co-authored together Daniel Coca links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019106
2 200277
3 201272
4 201471
5 200953
6 200847
7 201045
8 202440
9 200139
10 201838
11 200038
12
Nonlinear System Identification Using Wavelet Multi-resolution \nModels
199933
13 201932
14 199931
15 201631
16 199731
17 201028
18 201727
19 201826
20 202023

About Daniel Coca

Daniel Coca is a scholar working on Statistical and Nonlinear Physics, Control and Systems Engineering, Computer Networks and Communications, Cognitive Neuroscience and Artificial Intelligence, having authored 108 papers that have together received 1.4k indexed citations. Recurring topics across this work include Control Systems and Identification (18 papers), Neural Networks and Applications (13 papers), Nonlinear Dynamics and Pattern Formation (11 papers), Neural dynamics and brain function (11 papers), Fault Detection and Control Systems (10 papers), Chaos control and synchronization (8 papers), Theoretical and Computational Physics (7 papers) and Advanced Memory and Neural Computing (6 papers). The work is most often cited by research in Environmental Engineering (190 citations), Control and Systems Engineering (277 citations), Statistical and Nonlinear Physics (139 citations), Health, Toxicology and Mutagenesis (130 citations) and Cellular and Molecular Neuroscience (108 citations). Daniel Coca has collaborated with scholars based in United Kingdom, Germany and China. Frequent co-authors include Stephen A. Billings, Steve A. Billings, Martin Mayfield, Said Munir, Veronica Biga, Peter W. Andrews, Mikko Juusola, Paul J. Gokhale, Lingzhong Guo and Roger Hardie. Their work appears in journals such as International Journal of Bifurcation and Chaos, International Journal of Systems Science, Nonlinear Dynamics, BMC Neuroscience and Bioinformatics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact